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NATURAL LANGUAGE PROCESSING SOLUTIONS

Python and the Natural Language Toolkit (NLTK)
Statistical NLP, machine learning, and deep learning

Natural Language Processing

Natural language processing (NLP) is a state-of-the-art solution that enables computers to decipher the text. To do this, NLP software uses machine learning and artificial intelligence technology. The primary goal of natural language processing is for computers to achieve advanced textual understanding at the same level as human comprehension.
Why?

If computer systems reach this level, they can: Understand fully the languages ​​of the people, Find conclusions in the text, Translate and summarize, Generate natural human language and text.

Natural language processing will improve your business

Natural language processing will give your company the ability to develop faster while using your data to the fullest. NLP solutions provide the necessary tools for analyzing both numerical and linguistic data. Find NLP solutions that best suit your business needs.

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    NLP Solutions that we Offer for your Business

    Predictive text
    NLP solutions such as auto-correction and auto-completion analyze individual language patterns and determine the most appropriate suggestions for individual users.
    Smart Assistance
    Virtual smart assistants, such as Siri Visible or Alexa, use NLP technology to understand people's questions and answer their needs.

    Search Engine Results
    Search engines use NLP to better understand what users are looking for and to be able to find relevant information quickly.

    Text Classification
    Text classification is essential for automatic translation, comprehension, and classification of informal text. NLP models allow you to edit data using predefined tags.
    Text Extraction
    Natural language processing can identify specific keywords, product names, descriptions, etc. within the text.

    Text Summarization
    NLP can quickly extract important information from a text and summarize it based on key phrases in the text or text.

    Use Cases of NLP for Business

    Solving industry-related and business-related challenges with:

    Sentiment Analysis

    Comments on social media, product reviews, survey results that define customer perceptions of any particular company, their products, or marketing strategies. Analyzing the emotions of such texts helps to plan for future steps to improve customer experience.
    Intelligent Document Analysis
    It identification of patterns in written reports or emails helps to identify and resolve criminal cases. Extracting content from large text and categorizing it significantly reduces personal effort and reduces costs.



    Recognizing Threats

    With the help of NLP, companies can identify internal threats and prevent risks with better management to save time and money. The detection and management of the threat will improve business performance and ensure that progress is maintained.

    Smart Search and Questions / Answers System
    Help organizations prepare frequently asked questions related to their business, products, etc., and allow customers to search for a business to find their problems.


    Assisting the E-commerce Business
    NLP helps to improve search compliance, provide targeted responses and deliver personalized results based on the purpose of the query.
    Better Customer Support
    With this, you become a more focused customer by automatically processing multiple support requests, reducing costs, and increasing sales opportunities.

    Merchant/Legal Contract Analysis
    Perform a thorough analysis to identify any gaps or contract violations.


    Credit/Loan Contract Fact Extraction
    The manual process is modified to obtain better loan information for better guidance.
    Pharmacovigilance
    Helps to reduce manual efforts by removing businesses from the ADR (adverse drug reaction) report for information.
    Hiring Process
    With NLP, jobs are automatically matched with candidates to increase fill rates and reduce filling time.
    Oil and Gas
    Find valuable information on informal daily mining reports (DDRs).

    Functions of Natural Language Processing

    Natural language processing software is used to analyze and process human language. The human & machine relationship can use applications such as:

    • automated text writing
    • sentiment analysis
    • text classification
    • name recognition
    • speech fragments recognition

    NLP software is determined to be a complicated issue in computer knowledge. Human speech can be perfectly accurate. To figure out human language means to understand the words, but also concepts, the ideas, and the connection they are built upon.

    We have Expertise in NLP Solutions​

    The NLP is growing rapidly and expanding its services to benefit organizations in all major industries such as construction, banking, transportation, law, health care, and much more. With all the latest technology NLP techniques allow you to convert random data into functional data.

    By using our technology to develop NLP software, we can help you build a next-generation digital assistant system that can read and understand the meaning of human language more effectively. From chatbots to business intelligence, we hired a skilled technician to train data and work well with the text, images, and videos.

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